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An Overview on Application of Machine Learning Techniques in Optical Networks
[article]
2018
arXiv
pre-print
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alarms, signal quality indicators, users' behavioral data, etc. Advanced mathematical tools are required to extract meaningful information from these data and take decisions pertaining to the proper functioning of the networks from the network-generated data. Among these mathematical tools, Machine Learning (ML) is
arXiv:1803.07976v4
fatcat:rhzumocnrzfxpismbpkjejytfm